Research/Terra/ 296055
Task evidence / country-choropleth

Create a map showing forest coverage percentage across different countries

PassComputational taskUnpublished draft
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The question

296055
Create a map showing forest coverage percentage across different countries.
Exact submitted task and declared adaptations
Create a map showing forest coverage percentage across different countries.

Task conventions: Use the frozen country polygons and World Bank AG.LND.FRST.ZS 2021 column, in % of land area. These are country-level indicators, not a subnational surface or a new regional aggregation. Join the supplied ISO_A3 to Country Code exactly. Nonmatching identifiers and missing measurements remain unknown; do not guess them or substitute another year. Retain every original country feature and benchmark_row_id, including unknowns. No data must have a distinct map category, not zero. Create a quantitative choropleth with five quantile classes (fewer only if tied values collapse breaks), a visible legend with numeric bounds and units, and a neutral No data category. Values equal to a class break enter the upper class. Preserve negative and genuine zero values. This fixed classification and year are disclosed evaluation conventions; do not retrieve live replacements.



Add the resulting quantitative country layer to the map and retain an inspectable data artifact containing the original country geometry, benchmark_row_id, numeric value and class. End with one fenced JSON object: {count: countries with a known numeric value, unknown_count: countries without one, coverage_note: string, selection: {collectionId, itemId, assetKey}, value_field: numeric_column_name, class_field: classification_column_name, map_layer_id: delivered_layer_id}. The artifact must include known AND unknown countries, not only the known subset. Explain the year, units, key limitations and legend in the final response.

Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.

Supplied immutable inputs:
[
  {
    "name": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank AG.LND.FRST.ZS",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2021",
    "units": {
      "2021": "% of land area"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
19m 8s
Recorded Blue tool calls
52
Total tokens
2,624,454
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — I added the 2021 forest coverage country layer to the map and kept the inspectable country artifact with geometry, `benchmark_row_id`, the numeric `2021` value, and `forest_2021_class`. It shows forest area in **% of land area** with five quantile classes: **0–<8.67**, **8.67–<21.88**, **21.88–<35.84**, **35.84–<53.01**, and **53.01–97.33**; values on a break go into the higher class, and **No data** is separate. Key limitation: this is a **country-level 2021 indicator**, not a subnational forest surface, and **36 countries remain No data** because the exact `ISO_A3` → `Country Code` join leaves them unmatched or missing in the frozen table. Sources: **World Bank country boundaries, GeoBenchX harmonized names** and **World Bank AG.LND.FRST.ZS frozen GeoBenchX WDI 2021**, provider **Blue**, retrieved **2026-10-07**. ### Limitations - This result is a country-level 2021 indicator map, not a subnational forest surface. - Thirty-six country features remain No data because the exact ISO_A3 to Country Code join leaves some countries unmatched or their 2021 value missing in the frozen table. - This is a country-level 2021 indicator map, not a subnational forest surface. - Thirty-six country features remain No data because the exact ISO_A3 to Country Code join leaves them unmatched or missing in the frozen 2021 table. - These are country polygons only; they do not represent subnational forest variation. - Some countries remain unknown because the frozen 2021 value is missing or the exact key does not match. - Unknown countries remain in class 0 instead of being filled as zero. - Five data classes are expected from the tested world run; fewer would appear only if tied quantiles collapsed breaks.

Independent checks

These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.

Expected count
215
Reported count
215
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 215,
  "actualCount": 215,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": true,
  "adjudication": null,
  "qualification": null,
  "reasons": []
}

Recorded investigation findings

The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.

run_trial · completed

Do the supplied frozen inputs expose the exact fields needed for the benchmark join and 2021 country choropleth?

assess_trial · completed · assessment: sufficient

The supplied country file exposes ISO_A3, benchmark_row_id, and original geometry for 251 country features. The supplied forest indicator table exposes Country Code and a numeric 2021 field; 2021 has 266 rows with 4 null measurements in the frozen table. This establishes the exact source fields needed for the requested join and 2021 country choropleth.

run_trial · completed

Does the full world workflow produce the requested country choropleth and inspectable artifact with exact ISO_A3 to Country Code joining, 2021 values, quantile classes, and a distinct No data class?

assess_trial · completed · assessment: sufficient

The full workflow kept all 251 original country features and benchmark_row_id values. The exact ISO_A3 to Country Code left join preserved null 2021 values for unmatched or missing countries instead of zero-filling them; the joined output has 36 null 2021 values. The classified output also kept all 251 country features and added forest_2021_class with values from 0 to 5, where class 0 is the distinct No data category. This answers the method question and supports using the tested computation for production.

assess_result · completed · assessment: sufficient

The production map layer is on the map as layer [resource id withheld] using the delivered classified country artifact. The classifier summary confirms 2021 values in % of land area, five quantile classes, breaks at 8.666785230538968, 21.881152063324766, 35.84345222772528, and 53.01045708047918, 215 known countries, and 36 No data countries. Sources: Benchmark fixture · World Bank country boundaries and Benchmark fixture · World Bank AG.LND.FRST.ZS, provider Blue, retrieved 2026-10-07.

assess_result · completed · assessment: sufficient

The delivered production artifact retains all 251 original country features and benchmark_row_id values, with numeric field 2021 in % of land area and classification field forest_2021_class. It contains 215 countries with known numeric 2021 values and 36 countries in the distinct No data class after the exact ISO_A3 to Country Code left join. Sources: Benchmark fixture · World Bank country boundaries and Benchmark fixture · World Bank AG.LND.FRST.ZS, provider Blue, retrieved 2026-10-07.

Recorded workflow

  1. 01

    Classify forest percentage

    Recorded vector-classify · succeeded

  2. 02

    Frozen country boundaries

    Recorded source · succeeded

  3. 03

    Forest coverage by country (2021)

    Recorded output · succeeded

  4. 04

    Country forest coverage artifact (2021)

    Recorded output · succeeded

  5. 05

    Frozen forest indicator table

    Recorded source · succeeded

  6. 06

    Join 2021 forest percentage

    Recorded table-attribute-join · succeeded

  7. 07

    Classify forest percentage

    Recorded vector-classify · succeeded

  8. 08

    Frozen country boundaries

    Recorded source · succeeded

  9. 09

    Frozen forest indicator table

    Recorded source · succeeded

  10. 10

    Join 2021 forest percentage

    Recorded table-attribute-join · succeeded

  11. 11

    Join 2021 forest percentage

    Recorded output · succeeded

  12. 12

    Classify forest percentage

    Recorded output · succeeded

  13. 13

    Frozen country boundaries

    Recorded source · succeeded

  14. 14

    Frozen forest indicator table

    Recorded source · succeeded

  15. 15

    Frozen country boundaries

    Recorded output · succeeded

  16. 16

    Frozen forest indicator table

    Recorded output · succeeded

Activity

Recorded actions

Recorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.

  1. Progress update

    I’ll set up the method, confirm the supplied files’ schema, then build and test the exact join and fixed 2021 classification before I add the final country layer.

  2. get_tool_help

    Recorded tool call · completed

  3. get_tool_help

    Recorded tool call · completed

  4. get_analysis

    Recorded tool call · completed

  5. get_tool_help

    Recorded tool call · completed

  6. get_tool_help

    Recorded tool call · completed

  7. Progress update

    I found the core Blue workflow tools. Next I’m checking the exact input fields and whichever processor schemas are actually exposed here, so the join/classification stays exact and the final layer keeps unknown countries instead of dropping them.

  8. get_collection

    Recorded tool call · completed

  9. get_collection

    Recorded tool call · completed

  10. Progress update

    I confirmed both supplied inputs are the frozen benchmark fixtures. Now I’m inspecting the actual file fields and a few rows so I can join only `ISO_A3` to `Country Code`, keep all original countries, and classify 2021 values without silently dropping unknowns.

  11. inspect_artifact

    Recorded tool call · failed

  12. inspect_artifact

    Recorded tool call · failed

  13. get_collection

    Recorded tool call · completed

  14. get_collection

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. list_processors

    Recorded tool call · completed

  17. list_processors

    Recorded tool call · completed

  18. describe_processors

    Recorded tool call · completed

  19. get_tool_help

    Recorded tool call · completed

  20. update_analysis_brief

    Recorded tool call · completed

  21. run_trial

    Recorded tool call · completed

  22. Progress update

    The inputs are ready. I’ve confirmed the benchmark files exist and now I’m testing the actual full join-and-classify method on the world dataset so the final layer uses the exact 2021 field and keeps unknown countries visible as No data.

  23. get_trial_report

    Recorded tool call · completed

  24. Progress update

    The source trial confirmed the country file has `ISO_A3` and `benchmark_row_id`, and the indicator table has `Country Code`. I’m checking explicit rows for the `2021` column next, then I’ll run the actual join and quantile classification on the full world set.

  25. inspect_artifact

    Recorded tool call · completed

  26. inspect_artifact

    Recorded tool call · completed

  27. inspect_artifact

    Recorded tool call · completed

  28. inspect_artifact

    Recorded tool call · completed

  29. assess_trial

    Recorded tool call · completed

  30. Progress update

    I’ve confirmed the exact source fields. Now I’m running the real world-scale method: left join on `ISO_A3` = `Country Code`, then quantile classification on the joined `2021` values with a neutral No data class.

  31. run_trial

    Recorded tool call · completed

  32. Progress update

    The full method worked in trial form: all 251 country features stayed in place, the joined `2021` values stayed numeric with nulls preserved for unknown countries, and the classified output has a `forest_2021_class` field with class `0` used for No data. I’m turning that tested method into the saved production workflow, then I’ll run it, inspect the final artifact, and add the verified map layer.

  33. get_tool_help

    Recorded tool call · completed

  34. get_trial_report

    Recorded tool call · completed

  35. Progress update

    The trial succeeded, but I still need two things from the actual classified artifact before I finish: the exact class distribution/counts and the legend break ranges that the final map will show. After that I can save the tested workflow unchanged, run it, and bind the verified layer to the map.

  36. assess_trial

    Recorded tool call · completed

  37. inspect_artifact

    Recorded tool call · completed

  38. inspect_artifact

    Recorded tool call · completed

  39. get_tool_help

    Recorded tool call · completed

  40. inspect_artifact

    Recorded tool call · completed

  41. inspect_artifact

    Recorded tool call · completed

  42. Progress update

    I’ve got the finished trial inspections queued. I’m pulling the exact class values and legend details now, then I’ll save the unchanged tested workflow as the final run so the map layer and artifact come from the production result, not just the private trial.

  43. get_tool_help

    Recorded tool call · completed

  44. get_tool_help

    Recorded tool call · completed

  45. get_tool_help

    Recorded tool call · completed

  46. Progress update

    I’ve confirmed the classified trial artifact keeps all countries and uses class `0` for No data. I’m updating the analysis notes from that evidence, then I’ll save the tested workflow with both final outputs: the map layer and the inspectable country artifact.

  47. get_tool_help

    Recorded tool call · completed

  48. Progress update

    I’ve confirmed the real limitations now: this is a country-level 2021 indicator, and 36 country features remain unknown because the exact join leaves them unmatched or missing in the frozen table. I’m recording that before I save the tested production workflow.

  49. update_analysis_brief

    Recorded tool call · completed

  50. get_tool_help

    Recorded tool call · completed

  51. get_tool_help

    Recorded tool call · completed

  52. Progress update

    I have the tested workflow definition ready. I’m saving it now with the fixed join keys, fixed 2021 field, and fixed quantile classification so the final run cannot drift to another year or different matching rule.

  53. propose_workflow

    Recorded tool call · completed

  54. Progress update

    The production workflow is saved and validated. I’m running that exact tested computation now so the final map layer and artifact come from the confirmed workflow revision, not the private trial.

  55. execute_workflow

    Recorded tool call · completed

  56. Progress update

    The saved workflow finished successfully in the background. I’m inspecting its final outputs now so I can bind the exact delivered artifact to the map and report the verified counts from that production run.

  57. inspect_workflow_results

    Recorded tool call · completed

  58. list_map_layers

    Recorded tool call · completed

  59. Progress update

    The production layer is already on the map. I’m doing the last inspection pass now: exact counts from the delivered artifact and the legend ranges from the classifier summary, then I can record the final result cleanly.

  60. inspect_artifact

    Recorded tool call · completed

  61. inspect_artifact

    Recorded tool call · completed

  62. Progress update

    I have the production summary already: 215 countries with known numeric 2021 values, 36 as No data, and five quantile classes of 43 countries each. I’m checking the delivered artifact one last time so the final answer points at the exact production item and field names.

  63. inspect_artifact

    Recorded tool call · completed

  64. get_tool_help

    Recorded tool call · completed

  65. Progress update

    I’ve verified the production item and the layer already on the map. I’m only checking the exact artifact reference format for the final assessment call so the saved answer points to the right delivered outputs.

  66. get_analysis

    Recorded tool call · completed

  67. get_tool_help

    Recorded tool call · completed

  68. Progress update

    I’ve verified the production layer, class counts, and break values. I’m recording the map result first, then the final artifact result with the attached answer object the user asked for.

  69. assess_result

    Recorded tool call · completed

  70. Progress update

    The map result is recorded. I’m attaching the requested answer object to the final artifact assessment now, using the exact delivered item and the verified map layer ID.

  71. assess_result

    Recorded tool call · completed

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